Stochastic computing is reemerging as one of the alternative technique of conventional binary computing for error tolerant, low‐power, and low resource applications. In the recent past, several works have been reported for the implementation of stochastic circuits. All these works have been carried out using irreversible gates or Boolean functions as building blocks, which will not be supported in the near future for the power efficient realizations due to Landauer principle. Therefore, it is timely to consider the reversible stochastic computing design. Till date, as per the author's best knowledge, no work has been reported on the reversible stochastic computing. Besides, no work has been reported on the study of feasibility of existing reversible gates for stochastic computing. In this paper, reversible gates have been examined for their stochastic operations in unipolar, bipolar, and inverse bipolar formats. In addition, some novel universal reversible gates are proposed, which are well suited for reversible stochastic computing using these formats. Finally, the implementation of reversible two‐input linear neuron using the proposed reversible gates has been demonstrated.

中文翻译：

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可逆随机计算

对于容错，低功耗和低资源应用，随机计算正逐渐成为传统二进制计算的替代技术之一。在最近的过去，已经报道了一些用于实现随机电路的工作。所有这些工作都是使用不可逆门或布尔函数作为构建块完成的，由于Landauer原理，在不久的将来将不再支持这些功能以实现高能效。因此，应该考虑可逆的随机计算设计。到目前为止，根据作者的最佳知识，还没有关于可逆随机计算的报道。此外，尚无关于研究现有可逆门用于随机计算的可行性的工作报告。在本文中，已经检查了可逆闸门在单极，双极和反向双极格式下的随机操作。另外，提出了一些新颖的通用可逆门，它们非常适合使用这些格式的可逆随机计算。最后，使用所提出的可逆门实现了可逆两输入线性神经元的实现。